Pandas Profiling Report

Dataset statistics

Number of variables	70
Number of observations	10
Missing cells	100
Missing cells (%)	14.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.6 KiB
Average record size in memory	572.8 B

Variable types

Numeric	32
Categorical	28
Unsupported	10

Alerts

`columna_3` has constant value "2022-06-30"	Constant
`columna_4` has constant value "1"	Constant
`columna_14` has constant value "0"	Constant
`columna_16` has constant value "0"	Constant
`columna_17` has constant value "0"	Constant
`columna_18` has constant value "0"	Constant
`columna_19` has constant value "0"	Constant
`columna_20` has constant value "0"	Constant
`columna_22` has constant value "0"	Constant
`columna_23` has constant value "0"	Constant
`columna_40` has constant value "C"	Constant
`columna_50` has constant value "5"	Constant
`columna_60` has constant value "1"	Constant
`columna_0` is highly correlated with `columna_6` and 3 other fields	High correlation
`columna_2` is highly correlated with `columna_10` and 4 other fields	High correlation
`columna_5` is highly correlated with `columna_7` and 16 other fields	High correlation
`columna_6` is highly correlated with `columna_0` and 3 other fields	High correlation
`columna_7` is highly correlated with `columna_5` and 17 other fields	High correlation
`columna_8` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_9` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_10` is highly correlated with `columna_2` and 19 other fields	High correlation
`columna_11` is highly correlated with `columna_28` and 4 other fields	High correlation
`columna_12` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_13` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_15` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_24` is highly correlated with `columna_0` and 4 other fields	High correlation
`columna_25` is highly correlated with `columna_5` and 17 other fields	High correlation
`columna_26` is highly correlated with `columna_6` and 3 other fields	High correlation
`columna_27` is highly correlated with `columna_2` and 20 other fields	High correlation
`columna_28` is highly correlated with `columna_11` and 3 other fields	High correlation
`columna_29` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_30` is highly correlated with `columna_11` and 4 other fields	High correlation
`columna_31` is highly correlated with `columna_11` and 4 other fields	High correlation
`columna_32` is highly correlated with `columna_35` and 2 other fields	High correlation
`columna_35` is highly correlated with `columna_32` and 3 other fields	High correlation
`columna_38` is highly correlated with `columna_0`	High correlation
`columna_39` is highly correlated with `columna_32` and 3 other fields	High correlation
`columna_41` is highly correlated with `columna_24` and 3 other fields	High correlation
`columna_42` is highly correlated with `columna_2` and 4 other fields	High correlation
`columna_43` is highly correlated with `columna_2` and 4 other fields	High correlation
`columna_51` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_55` is highly correlated with `columna_0` and 3 other fields	High correlation
`columna_56` is highly correlated with `columna_7` and 6 other fields	High correlation
`columna_61` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_62` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_63` is highly correlated with `columna_32` and 2 other fields	High correlation
`columna_64` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_65` is highly correlated with `columna_11` and 4 other fields	High correlation
`columna_66` is highly correlated with `columna_2` and 19 other fields	High correlation
`columna_67` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_68` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_0` is highly correlated with `columna_38`	High correlation
`columna_2` is highly correlated with `columna_11` and 6 other fields	High correlation
`columna_5` is highly correlated with `columna_7` and 17 other fields	High correlation
`columna_6` is highly correlated with `columna_24` and 3 other fields	High correlation
`columna_7` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_8` is highly correlated with `columna_5` and 17 other fields	High correlation
`columna_9` is highly correlated with `columna_5` and 17 other fields	High correlation
`columna_10` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_11` is highly correlated with `columna_2` and 6 other fields	High correlation
`columna_12` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_13` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_15` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_24` is highly correlated with `columna_6` and 6 other fields	High correlation
`columna_25` is highly correlated with `columna_5` and 17 other fields	High correlation
`columna_26` is highly correlated with `columna_6` and 6 other fields	High correlation
`columna_27` is highly correlated with `columna_5` and 19 other fields	High correlation
`columna_28` is highly correlated with `columna_6` and 4 other fields	High correlation
`columna_29` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_30` is highly correlated with `columna_11` and 2 other fields	High correlation
`columna_31` is highly correlated with `columna_2` and 6 other fields	High correlation
`columna_32` is highly correlated with `columna_2` and 4 other fields	High correlation
`columna_35` is highly correlated with `columna_24` and 3 other fields	High correlation
`columna_38` is highly correlated with `columna_0`	High correlation
`columna_39` is highly correlated with `columna_24` and 3 other fields	High correlation
`columna_41` is highly correlated with `columna_24` and 5 other fields	High correlation
`columna_42` is highly correlated with `columna_2` and 6 other fields	High correlation
`columna_43` is highly correlated with `columna_2` and 6 other fields	High correlation
`columna_51` is highly correlated with `columna_5` and 17 other fields	High correlation
`columna_55` is highly correlated with `columna_6` and 3 other fields	High correlation
`columna_56` is highly correlated with `columna_5` and 6 other fields	High correlation
`columna_61` is highly correlated with `columna_5` and 17 other fields	High correlation
`columna_62` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_63` is highly correlated with `columna_2` and 4 other fields	High correlation
`columna_64` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_65` is highly correlated with `columna_2` and 6 other fields	High correlation
`columna_66` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_67` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_68` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_0` is highly correlated with `columna_6` and 1 other fields	High correlation
`columna_2` is highly correlated with `columna_42` and 1 other fields	High correlation
`columna_5` is highly correlated with `columna_7` and 16 other fields	High correlation
`columna_6` is highly correlated with `columna_0` and 3 other fields	High correlation
`columna_7` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_8` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_9` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_10` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_11` is highly correlated with `columna_28` and 3 other fields	High correlation
`columna_12` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_13` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_15` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_24` is highly correlated with `columna_6` and 3 other fields	High correlation
`columna_25` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_26` is highly correlated with `columna_6` and 3 other fields	High correlation
`columna_27` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_28` is highly correlated with `columna_11` and 3 other fields	High correlation
`columna_29` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_30` is highly correlated with `columna_11` and 4 other fields	High correlation
`columna_31` is highly correlated with `columna_11` and 3 other fields	High correlation
`columna_32` is highly correlated with `columna_63`	High correlation
`columna_35` is highly correlated with `columna_39` and 1 other fields	High correlation
`columna_39` is highly correlated with `columna_35` and 1 other fields	High correlation
`columna_41` is highly correlated with `columna_24` and 3 other fields	High correlation
`columna_42` is highly correlated with `columna_2` and 1 other fields	High correlation
`columna_43` is highly correlated with `columna_2` and 1 other fields	High correlation
`columna_51` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_55` is highly correlated with `columna_0` and 3 other fields	High correlation
`columna_56` is highly correlated with `columna_30`	High correlation
`columna_61` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_62` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_63` is highly correlated with `columna_32`	High correlation
`columna_64` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_65` is highly correlated with `columna_11` and 3 other fields	High correlation
`columna_66` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_67` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_68` is highly correlated with `columna_5` and 16 other fields	High correlation
`columna_20` is highly correlated with `columna_31` and 26 other fields	High correlation
`columna_31` is highly correlated with `columna_20` and 18 other fields	High correlation
`columna_41` is highly correlated with `columna_20` and 17 other fields	High correlation
`columna_1` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_19` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_18` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_30` is highly correlated with `columna_20` and 18 other fields	High correlation
`columna_11` is highly correlated with `columna_20` and 18 other fields	High correlation
`columna_52` is highly correlated with `columna_20` and 17 other fields	High correlation
`columna_17` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_38` is highly correlated with `columna_20` and 17 other fields	High correlation
`columna_3` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_40` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_22` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_48` is highly correlated with `columna_20` and 17 other fields	High correlation
`columna_23` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_14` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_60` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_37` is highly correlated with `columna_20` and 17 other fields	High correlation
`columna_36` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_34` is highly correlated with `columna_20` and 18 other fields	High correlation
`columna_46` is highly correlated with `columna_20` and 17 other fields	High correlation
`columna_33` is highly correlated with `columna_20` and 17 other fields	High correlation
`columna_16` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_50` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_4` is highly correlated with `columna_20` and 26 other fields	High correlation
`columna_44` is highly correlated with `columna_20` and 17 other fields	High correlation
`columna_65` is highly correlated with `columna_20` and 18 other fields	High correlation
`columna_0` is highly correlated with `columna_1` and 10 other fields	High correlation
`columna_1` is highly correlated with `columna_0` and 45 other fields	High correlation
`columna_2` is highly correlated with `columna_1` and 9 other fields	High correlation
`columna_5` is highly correlated with `columna_1` and 27 other fields	High correlation
`columna_6` is highly correlated with `columna_1` and 22 other fields	High correlation
`columna_7` is highly correlated with `columna_1` and 32 other fields	High correlation
`columna_8` is highly correlated with `columna_1` and 35 other fields	High correlation
`columna_9` is highly correlated with `columna_1` and 27 other fields	High correlation
`columna_10` is highly correlated with `columna_1` and 33 other fields	High correlation
`columna_11` is highly correlated with `columna_0` and 14 other fields	High correlation
`columna_12` is highly correlated with `columna_1` and 33 other fields	High correlation
`columna_13` is highly correlated with `columna_0` and 27 other fields	High correlation
`columna_15` is highly correlated with `columna_0` and 27 other fields	High correlation
`columna_24` is highly correlated with `columna_1` and 23 other fields	High correlation
`columna_25` is highly correlated with `columna_1` and 33 other fields	High correlation
`columna_26` is highly correlated with `columna_1` and 26 other fields	High correlation
`columna_27` is highly correlated with `columna_1` and 34 other fields	High correlation
`columna_28` is highly correlated with `columna_1` and 29 other fields	High correlation
`columna_29` is highly correlated with `columna_1` and 33 other fields	High correlation
`columna_30` is highly correlated with `columna_0` and 15 other fields	High correlation
`columna_31` is highly correlated with `columna_0` and 14 other fields	High correlation
`columna_32` is highly correlated with `columna_1` and 30 other fields	High correlation
`columna_33` is highly correlated with `columna_1` and 31 other fields	High correlation
`columna_34` is highly correlated with `columna_1` and 35 other fields	High correlation
`columna_35` is highly correlated with `columna_1` and 31 other fields	High correlation
`columna_36` is highly correlated with `columna_0` and 45 other fields	High correlation
`columna_37` is highly correlated with `columna_1` and 28 other fields	High correlation
`columna_38` is highly correlated with `columna_1` and 10 other fields	High correlation
`columna_39` is highly correlated with `columna_1` and 31 other fields	High correlation
`columna_41` is highly correlated with `columna_1` and 25 other fields	High correlation
`columna_42` is highly correlated with `columna_1` and 9 other fields	High correlation
`columna_43` is highly correlated with `columna_1` and 9 other fields	High correlation
`columna_44` is highly correlated with `columna_1` and 32 other fields	High correlation
`columna_46` is highly correlated with `columna_1` and 26 other fields	High correlation
`columna_48` is highly correlated with `columna_1` and 25 other fields	High correlation
`columna_51` is highly correlated with `columna_1` and 35 other fields	High correlation
`columna_52` is highly correlated with `columna_1` and 31 other fields	High correlation
`columna_55` is highly correlated with `columna_1` and 23 other fields	High correlation
`columna_56` is highly correlated with `columna_1` and 17 other fields	High correlation
`columna_61` is highly correlated with `columna_1` and 27 other fields	High correlation
`columna_62` is highly correlated with `columna_0` and 27 other fields	High correlation
`columna_63` is highly correlated with `columna_1` and 30 other fields	High correlation
`columna_64` is highly correlated with `columna_0` and 27 other fields	High correlation
`columna_65` is highly correlated with `columna_0` and 14 other fields	High correlation
`columna_66` is highly correlated with `columna_1` and 33 other fields	High correlation
`columna_67` is highly correlated with `columna_1` and 33 other fields	High correlation
`columna_68` is highly correlated with `columna_0` and 27 other fields	High correlation
`columna_21` has 10 (100.0%) missing values	Missing
`columna_45` has 10 (100.0%) missing values	Missing
`columna_47` has 10 (100.0%) missing values	Missing
`columna_49` has 10 (100.0%) missing values	Missing
`columna_53` has 10 (100.0%) missing values	Missing
`columna_54` has 10 (100.0%) missing values	Missing
`columna_57` has 10 (100.0%) missing values	Missing
`columna_58` has 10 (100.0%) missing values	Missing
`columna_59` has 10 (100.0%) missing values	Missing
`columna_69` has 10 (100.0%) missing values	Missing
`columna_1` is uniformly distributed	Uniform
`columna_34` is uniformly distributed	Uniform
`columna_36` is uniformly distributed	Uniform
`columna_0` has unique values	Unique
`columna_1` has unique values	Unique
`columna_2` has unique values	Unique
`columna_5` has unique values	Unique
`columna_7` has unique values	Unique
`columna_8` has unique values	Unique
`columna_10` has unique values	Unique
`columna_12` has unique values	Unique
`columna_25` has unique values	Unique
`columna_27` has unique values	Unique
`columna_29` has unique values	Unique
`columna_36` has unique values	Unique
`columna_42` has unique values	Unique
`columna_43` has unique values	Unique
`columna_51` has unique values	Unique
`columna_55` has unique values	Unique
`columna_61` has unique values	Unique
`columna_66` has unique values	Unique
`columna_67` has unique values	Unique
`columna_21` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`columna_45` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`columna_47` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`columna_49` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`columna_53` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`columna_54` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`columna_57` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`columna_58` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`columna_59` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`columna_69` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`columna_9` has 2 (20.0%) zeros	Zeros
`columna_13` has 2 (20.0%) zeros	Zeros
`columna_15` has 2 (20.0%) zeros	Zeros
`columna_32` has 2 (20.0%) zeros	Zeros
`columna_62` has 2 (20.0%) zeros	Zeros
`columna_63` has 2 (20.0%) zeros	Zeros
`columna_64` has 2 (20.0%) zeros	Zeros
`columna_68` has 2 (20.0%) zeros	Zeros

Reproduction

Analysis started	2022-07-27 15:47:35.576196
Analysis finished	2022-07-27 15:49:24.381258
Duration	1 minute and 48.81 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

columna_0
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4021874855

Minimum	4000131899
Maximum	4200056194
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	4000131899
5-th percentile	4000421269
Q1	4000903764
median	4002881288
Q3	4003320528
95-th percentile	4111687703
Maximum	4200056194
Range	199924295
Interquartile range (IQR)	2416764.25

Descriptive statistics

Standard deviation	62619399.23
Coefficient of variation (CV)	0.01556970356
Kurtosis	9.988714636
Mean	4021874855
Median Absolute Deviation (MAD)	1293699.5
Skewness	3.159840918
Sum	4.021874855 × 10¹⁰
Variance	3.921189159 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4200056194	1	10.0%
4002910555	1	10.0%
4002852021	1	10.0%
4003681769	1	10.0%
4003437774	1	10.0%
4001094370	1	10.0%
4000774944	1	10.0%
4000840229	1	10.0%
4002968792	1	10.0%
4000131899	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4000131899	1	10.0%
4000774944	1	10.0%
4000840229	1	10.0%
4001094370	1	10.0%
4002852021	1	10.0%
4002910555	1	10.0%
4002968792	1	10.0%
4003437774	1	10.0%
4003681769	1	10.0%
4200056194	1	10.0%

Value	Count	Frequency (%)
4200056194	1	10.0%
4003681769	1	10.0%
4003437774	1	10.0%
4002968792	1	10.0%
4002910555	1	10.0%
4002852021	1	10.0%
4001094370	1	10.0%
4000840229	1	10.0%
4000774944	1	10.0%
4000131899	1	10.0%

columna_1
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

174297088	1
170677080	1
178847600	1
173567839	1
135652652	1
Other values (5)	5

Length

Max length	9
Median length	9
Mean length	8.9
Min length	8

Characters and Unicode

Total characters	89
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	100.0%

Sample

1st row	174297088
2nd row	170677080
3rd row	178847600
4th row	173567839
5th row	135652652

Common Values

Value	Count	Frequency (%)
174297088	1	10.0%
170677080	1	10.0%
178847600	1	10.0%
173567839	1	10.0%
135652652	1	10.0%
16050028K	1	10.0%
96925204	1	10.0%
260182854	1	10.0%
257500985	1	10.0%
177602868	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
174297088	1	10.0%
170677080	1	10.0%
178847600	1	10.0%
173567839	1	10.0%
135652652	1	10.0%
16050028k	1	10.0%
96925204	1	10.0%
260182854	1	10.0%
257500985	1	10.0%
177602868	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	14	15.7%
7	12	13.5%
8	12	13.5%
2	10	11.2%
6	10	11.2%
5	10	11.2%
1	8	9.0%
9	5	5.6%
4	4	4.5%
3	3	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	88	98.9%
Uppercase Letter	1	1.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14	15.9%
7	12	13.6%
8	12	13.6%
2	10	11.4%
6	10	11.4%
5	10	11.4%
1	8	9.1%
9	5	5.7%
4	4	4.5%
3	3	3.4%

Uppercase Letter

Value	Count	Frequency (%)
K	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	88	98.9%
Latin	1	1.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	14	15.9%
7	12	13.6%
8	12	13.6%
2	10	11.4%
6	10	11.4%
5	10	11.4%
1	8	9.1%
9	5	5.7%
4	4	4.5%
3	3	3.4%

Latin

Value	Count	Frequency (%)
K	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	89	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	14	15.7%
7	12	13.5%
8	12	13.5%
2	10	11.2%
6	10	11.2%
5	10	11.2%
1	8	9.0%
9	5	5.6%
4	4	4.5%
3	3	3.4%

columna_2
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.771116905 × 10¹⁰

Minimum	1.062035591 × 10¹⁰
Maximum	1.105217528 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	1.062035591 × 10¹⁰
5-th percentile	1.062035592 × 10¹⁰
Q1	1.064679407 × 10¹⁰
median	5.587142311 × 10¹⁰
Q3	1.008963401 × 10¹¹
95-th percentile	1.105210361 × 10¹¹
Maximum	1.105217528 × 10¹¹
Range	9.990139691 × 10¹⁰
Interquartile range (IQR)	9.024954598 × 10¹⁰

Descriptive statistics

Standard deviation	4.967868812 × 10¹⁰
Coefficient of variation (CV)	0.860815834
Kurtosis	-2.534370682
Mean	5.771116905 × 10¹⁰
Median Absolute Deviation (MAD)	4.519980146 × 10¹⁰
Skewness	0.01814781673
Sum	5.771116905 × 10¹¹
Variance	2.467972053 × 10²¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1.008217752 × 10¹¹	1	10.0%
1.008217842 × 10¹¹	1	10.0%
1.062035594 × 10¹⁰	1	10.0%
1.072127682 × 10¹⁰	1	10.0%
1.00921192 × 10¹¹	1	10.0%
1.062035591 × 10¹⁰	1	10.0%
1.092107106 × 10¹⁰	1	10.0%
1.105217528 × 10¹¹	1	10.0%
1.062196649 × 10¹⁰	1	10.0%
1.105201601 × 10¹¹	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.062035591 × 10¹⁰	1	10.0%
1.062035594 × 10¹⁰	1	10.0%
1.062196649 × 10¹⁰	1	10.0%
1.072127682 × 10¹⁰	1	10.0%
1.092107106 × 10¹⁰	1	10.0%
1.008217752 × 10¹¹	1	10.0%
1.008217842 × 10¹¹	1	10.0%
1.00921192 × 10¹¹	1	10.0%
1.105201601 × 10¹¹	1	10.0%
1.105217528 × 10¹¹	1	10.0%

Value	Count	Frequency (%)
1.105217528 × 10¹¹	1	10.0%
1.105201601 × 10¹¹	1	10.0%
1.00921192 × 10¹¹	1	10.0%
1.008217842 × 10¹¹	1	10.0%
1.008217752 × 10¹¹	1	10.0%
1.092107106 × 10¹⁰	1	10.0%
1.072127682 × 10¹⁰	1	10.0%
1.062196649 × 10¹⁰	1	10.0%
1.062035594 × 10¹⁰	1	10.0%
1.062035591 × 10¹⁰	1	10.0%

columna_3
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

2022-06-30	10

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	100
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2022-06-30
2nd row	2022-06-30
3rd row	2022-06-30
4th row	2022-06-30
5th row	2022-06-30

Common Values

Value	Count	Frequency (%)
2022-06-30	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2022-06-30	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	30	30.0%
0	30	30.0%
-	20	20.0%
6	10	10.0%
3	10	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	80	80.0%
Dash Punctuation	20	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	30	37.5%
0	30	37.5%
6	10	12.5%
3	10	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	100	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	30	30.0%
0	30	30.0%
-	20	20.0%
6	10	10.0%
3	10	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	30	30.0%
0	30	30.0%
-	20	20.0%
6	10	10.0%
3	10	10.0%

columna_4
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

1	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	10	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	10	100.0%

columna_5
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	583585.9

Minimum	16842
Maximum	2804762
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	16842
5-th percentile	23393.55
Q1	116040
median	286570
Q3	662148
95-th percentile	1918661.6
Maximum	2804762
Range	2787920
Interquartile range (IQR)	546108

Descriptive statistics

Standard deviation	830911.4001
Coefficient of variation (CV)	1.423803077
Kurtosis	6.942921796
Mean	583585.9
Median Absolute Deviation (MAD)	262448.5
Skewness	2.51517988
Sum	5835859
Variance	6.904137548 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
289570	1	10.0%
673224	1	10.0%
175800	1	10.0%
16842	1	10.0%
628920	1	10.0%
2804762	1	10.0%
283570	1	10.0%
96120	1	10.0%
835650	1	10.0%
31401	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16842	1	10.0%
31401	1	10.0%
96120	1	10.0%
175800	1	10.0%
283570	1	10.0%
289570	1	10.0%
628920	1	10.0%
673224	1	10.0%
835650	1	10.0%
2804762	1	10.0%

Value	Count	Frequency (%)
2804762	1	10.0%
835650	1	10.0%
673224	1	10.0%
628920	1	10.0%
289570	1	10.0%
283570	1	10.0%
175800	1	10.0%
96120	1	10.0%
31401	1	10.0%
16842	1	10.0%

columna_6
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.6

Minimum	10
Maximum	36
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	10
5-th percentile	10
Q1	12
median	21
Q3	31.5
95-th percentile	36
Maximum	36
Range	26
Interquartile range (IQR)	19.5

Descriptive statistics

Standard deviation	10.7827022
Coefficient of variation (CV)	0.4991991758
Kurtosis	-1.706397219
Mean	21.6
Median Absolute Deviation (MAD)	10
Skewness	0.3288481398
Sum	216
Variance	116.2666667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
10	2	20.0%
24	2	20.0%
12	2	20.0%
36	2	20.0%
34	1	10.0%
18	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	2	20.0%
12	2	20.0%
18	1	10.0%
24	2	20.0%
34	1	10.0%
36	2	20.0%

Value	Count	Frequency (%)
36	2	20.0%
34	1	10.0%
24	2	20.0%
18	1	10.0%
12	2	20.0%
10	2	20.0%

columna_7
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	28472.9

Minimum	881
Maximum	82493
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	881
5-th percentile	1116.35
Q1	3833.75
median	25841
Q3	42058
95-th percentile	73672.55
Maximum	82493
Range	81612
Interquartile range (IQR)	38224.25

Descriptive statistics

Standard deviation	28000.08235
Coefficient of variation (CV)	0.983394117
Kurtosis	-0.1552602173
Mean	28472.9
Median Absolute Deviation (MAD)	21877.5
Skewness	0.864314542
Sum	284729
Variance	784004611.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
28957	1	10.0%
28051	1	10.0%
7325	1	10.0%
1404	1	10.0%
62892	1	10.0%
82493	1	10.0%
23631	1	10.0%
2670	1	10.0%
46425	1	10.0%
881	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
881	1	10.0%
1404	1	10.0%
2670	1	10.0%
7325	1	10.0%
23631	1	10.0%
28051	1	10.0%
28957	1	10.0%
46425	1	10.0%
62892	1	10.0%
82493	1	10.0%

Value	Count	Frequency (%)
82493	1	10.0%
62892	1	10.0%
46425	1	10.0%
28957	1	10.0%
28051	1	10.0%
23631	1	10.0%
7325	1	10.0%
2670	1	10.0%
1404	1	10.0%
881	1	10.0%

columna_8
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	422564.6

Minimum	16842
Maximum	1835009
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	16842
5-th percentile	17140.35
Q1	73976.5
median	263265
Q3	524499
95-th percentile	1297885.85
Maximum	1835009
Range	1818167
Interquartile range (IQR)	450522.5

Descriptive statistics

Standard deviation	544192.8453
Coefficient of variation (CV)	1.287833494
Kurtosis	5.774491608
Mean	422564.6
Median Absolute Deviation (MAD)	226087.5
Skewness	2.250969277
Sum	4225646
Variance	2.961458529 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
242960	1	10.0%
469680	1	10.0%
115906	1	10.0%
16842	1	10.0%
542772	1	10.0%
1835009	1	10.0%
283570	1	10.0%
60000	1	10.0%
641402	1	10.0%
17505	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16842	1	10.0%
17505	1	10.0%
60000	1	10.0%
115906	1	10.0%
242960	1	10.0%
283570	1	10.0%
469680	1	10.0%
542772	1	10.0%
641402	1	10.0%
1835009	1	10.0%

Value	Count	Frequency (%)
1835009	1	10.0%
641402	1	10.0%
542772	1	10.0%
469680	1	10.0%
283570	1	10.0%
242960	1	10.0%
115906	1	10.0%
60000	1	10.0%
17505	1	10.0%
16842	1	10.0%

columna_9
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	9
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	161021.3

Minimum	0
Maximum	969753
Zeros	2
Zeros (%)	20.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	19452
median	53252
Q3	167223
95-th percentile	624958.95
Maximum	969753
Range	969753
Interquartile range (IQR)	147771

Descriptive statistics

Standard deviation	293443.8713
Coefficient of variation (CV)	1.822391642
Kurtosis	8.321992717
Mean	161021.3
Median Absolute Deviation (MAD)	46304
Skewness	2.817696749
Sum	1610213
Variance	8.61093056 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	2	20.0%
46610	1	10.0%
203544	1	10.0%
59894	1	10.0%
86148	1	10.0%
969753	1	10.0%
36120	1	10.0%
194248	1	10.0%
13896	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	20.0%
13896	1	10.0%
36120	1	10.0%
46610	1	10.0%
59894	1	10.0%
86148	1	10.0%
194248	1	10.0%
203544	1	10.0%
969753	1	10.0%

Value	Count	Frequency (%)
969753	1	10.0%
203544	1	10.0%
194248	1	10.0%
86148	1	10.0%
59894	1	10.0%
46610	1	10.0%
36120	1	10.0%
13896	1	10.0%
0	2	20.0%

columna_10
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	331200.3

Minimum	8895
Maximum	1319527
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	8895
5-th percentile	11151.75
Q1	22370
median	229522.5
Q3	459906
95-th percentile	972582.85
Maximum	1319527
Range	1310632
Interquartile range (IQR)	437536

Descriptive statistics

Standard deviation	402939.7884
Coefficient of variation (CV)	1.216604539
Kurtosis	3.896000773
Mean	331200.3
Median Absolute Deviation (MAD)	215598
Skewness	1.818284702
Sum	3312003
Variance	1.623604731 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
199106	1	10.0%
469570	1	10.0%
47663	1	10.0%
13939	1	10.0%
430914	1	10.0%
1319527	1	10.0%
259939	1	10.0%
8895	1	10.0%
548540	1	10.0%
13910	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8895	1	10.0%
13910	1	10.0%
13939	1	10.0%
47663	1	10.0%
199106	1	10.0%
259939	1	10.0%
430914	1	10.0%
469570	1	10.0%
548540	1	10.0%
1319527	1	10.0%

Value	Count	Frequency (%)
1319527	1	10.0%
548540	1	10.0%
469570	1	10.0%
430914	1	10.0%
259939	1	10.0%
199106	1	10.0%
47663	1	10.0%
13939	1	10.0%
13910	1	10.0%
8895	1	10.0%

columna_11
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

0	6
28173	1
20804	1
61168	1
44796	1

Length

Max length	5
Median length	1
Mean length	2.6
Min length	1

Characters and Unicode

Total characters	26
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	40.0%

Sample

1st row	28173
2nd row	0
3rd row	20804
4th row	0
5th row	61168

Common Values

Value	Count	Frequency (%)
0	6	60.0%
28173	1	10.0%
20804	1	10.0%
61168	1	10.0%
44796	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	6	60.0%
28173	1	10.0%
20804	1	10.0%
61168	1	10.0%
44796	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	8	30.8%
8	3	11.5%
1	3	11.5%
4	3	11.5%
6	3	11.5%
2	2	7.7%
7	2	7.7%
3	1	3.8%
9	1	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8	30.8%
8	3	11.5%
1	3	11.5%
4	3	11.5%
6	3	11.5%
2	2	7.7%
7	2	7.7%
3	1	3.8%
9	1	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	26	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8	30.8%
8	3	11.5%
1	3	11.5%
4	3	11.5%
6	3	11.5%
2	2	7.7%
7	2	7.7%
3	1	3.8%
9	1	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8	30.8%
8	3	11.5%
1	3	11.5%
4	3	11.5%
6	3	11.5%
2	2	7.7%
7	2	7.7%
3	1	3.8%
9	1	3.8%

columna_12
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	346694.4

Minimum	13910
Maximum	1319527
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	13910
5-th percentile	13923.05
Q1	57385
median	243609
Q3	486454
95-th percentile	972582.85
Maximum	1319527
Range	1305617
Interquartile range (IQR)	429069

Descriptive statistics

Standard deviation	398594.8249
Coefficient of variation (CV)	1.149700788
Kurtosis	3.755143954
Mean	346694.4
Median Absolute Deviation (MAD)	227815.5
Skewness	1.778873641
Sum	3466944
Variance	1.588778344 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
227279	1	10.0%
469570	1	10.0%
68467	1	10.0%
13939	1	10.0%
492082	1	10.0%
1319527	1	10.0%
259939	1	10.0%
53691	1	10.0%
548540	1	10.0%
13910	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13910	1	10.0%
13939	1	10.0%
53691	1	10.0%
68467	1	10.0%
227279	1	10.0%
259939	1	10.0%
469570	1	10.0%
492082	1	10.0%
548540	1	10.0%
1319527	1	10.0%

Value	Count	Frequency (%)
1319527	1	10.0%
548540	1	10.0%
492082	1	10.0%
469570	1	10.0%
259939	1	10.0%
227279	1	10.0%
68467	1	10.0%
53691	1	10.0%
13939	1	10.0%
13910	1	10.0%

columna_13
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	9
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48229.2

Minimum	0
Maximum	183545
Zeros	2
Zeros (%)	20.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5014.25
median	21957.5
Q3	80547
95-th percentile	139512.5
Maximum	183545
Range	183545
Interquartile range (IQR)	75532.75

Descriptive statistics

Standard deviation	58875.67459
Coefficient of variation (CV)	1.220747485
Kurtosis	2.162133087
Mean	48229.2
Median Absolute Deviation (MAD)	21957.5
Skewness	1.473105151
Sum	482292
Variance	3466345059
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	2	20.0%
32550	1	10.0%
83514	1	10.0%
10937	1	10.0%
71646	1	10.0%
183545	1	10.0%
11365	1	10.0%
85695	1	10.0%
3040	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	20.0%
3040	1	10.0%
10937	1	10.0%
11365	1	10.0%
32550	1	10.0%
71646	1	10.0%
83514	1	10.0%
85695	1	10.0%
183545	1	10.0%

Value	Count	Frequency (%)
183545	1	10.0%
85695	1	10.0%
83514	1	10.0%
71646	1	10.0%
32550	1	10.0%
11365	1	10.0%
10937	1	10.0%
3040	1	10.0%
0	2	20.0%

columna_14
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

0	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	10	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10	100.0%

columna_15
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	9
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48229.2

Minimum	0
Maximum	183545
Zeros	2
Zeros (%)	20.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5014.25
median	21957.5
Q3	80547
95-th percentile	139512.5
Maximum	183545
Range	183545
Interquartile range (IQR)	75532.75

Descriptive statistics

Standard deviation	58875.67459
Coefficient of variation (CV)	1.220747485
Kurtosis	2.162133087
Mean	48229.2
Median Absolute Deviation (MAD)	21957.5
Skewness	1.473105151
Sum	482292
Variance	3466345059
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	2	20.0%
32550	1	10.0%
83514	1	10.0%
10937	1	10.0%
71646	1	10.0%
183545	1	10.0%
11365	1	10.0%
85695	1	10.0%
3040	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	20.0%
3040	1	10.0%
10937	1	10.0%
11365	1	10.0%
32550	1	10.0%
71646	1	10.0%
83514	1	10.0%
85695	1	10.0%
183545	1	10.0%

Value	Count	Frequency (%)
183545	1	10.0%
85695	1	10.0%
83514	1	10.0%
71646	1	10.0%
32550	1	10.0%
11365	1	10.0%
10937	1	10.0%
3040	1	10.0%
0	2	20.0%

columna_16
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

0	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	10	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10	100.0%

columna_17
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

0	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	10	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10	100.0%

columna_18
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

0	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	10	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10	100.0%

columna_19
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

0	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	10	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10	100.0%

columna_20
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

0	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	10	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10	100.0%

columna_21
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10
Missing (%)	100.0%
Memory size	208.0 B

columna_22
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

0	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	10	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10	100.0%

columna_23
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

0	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	10	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10	100.0%

columna_24
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.7

Minimum	9
Maximum	22
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	9
5-th percentile	9
Q1	9
median	11.5
Q3	19
95-th percentile	22
Maximum	22
Range	13
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.677440738
Coefficient of variation (CV)	0.4144117327
Kurtosis	-1.32589671
Mean	13.7
Median Absolute Deviation (MAD)	2.5
Skewness	0.8290399583
Sum	137
Variance	32.23333333
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
9	4	40.0%
22	2	20.0%
21	1	10.0%
11	1	10.0%
13	1	10.0%
12	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9	4	40.0%
11	1	10.0%
12	1	10.0%
13	1	10.0%
21	1	10.0%
22	2	20.0%

Value	Count	Frequency (%)
22	2	20.0%
21	1	10.0%
13	1	10.0%
12	1	10.0%
11	1	10.0%
9	4	40.0%

columna_25
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	388708.6

Minimum	15444
Maximum	1814846
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	15444
5-th percentile	17216.1
Q1	64488.75
median	232569
Q3	482978.25
95-th percentile	1252877.9
Maximum	1814846
Range	1799402
Interquartile range (IQR)	418489.5

Descriptive statistics

Standard deviation	539118.4663
Coefficient of variation (CV)	1.386947617
Kurtosis	6.503439285
Mean	388708.6
Median Absolute Deviation (MAD)	205523
Skewness	2.429660649
Sum	3887086
Variance	2.906487207 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
260613	1	10.0%
252459	1	10.0%
153825	1	10.0%
15444	1	10.0%
566028	1	10.0%
1814846	1	10.0%
212679	1	10.0%
34710	1	10.0%
557100	1	10.0%
19382	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15444	1	10.0%
19382	1	10.0%
34710	1	10.0%
153825	1	10.0%
212679	1	10.0%
252459	1	10.0%
260613	1	10.0%
557100	1	10.0%
566028	1	10.0%
1814846	1	10.0%

Value	Count	Frequency (%)
1814846	1	10.0%
566028	1	10.0%
557100	1	10.0%
260613	1	10.0%
252459	1	10.0%
212679	1	10.0%
153825	1	10.0%
34710	1	10.0%
19382	1	10.0%
15444	1	10.0%

columna_26
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.4

Minimum	1
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2.5
Q3	11
95-th percentile	13.55
Maximum	14
Range	13
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.621387729
Coefficient of variation (CV)	1.040997728
Kurtosis	-1.321159613
Mean	5.4
Median Absolute Deviation (MAD)	1.5
Skewness	0.8757616478
Sum	54
Variance	31.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	4	40.0%
13	2	20.0%
2	1	10.0%
14	1	10.0%
5	1	10.0%
3	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	40.0%
2	1	10.0%
3	1	10.0%
5	1	10.0%
13	2	20.0%
14	1	10.0%

Value	Count	Frequency (%)
14	1	10.0%
13	2	20.0%
5	1	10.0%
3	1	10.0%
2	1	10.0%
1	4	40.0%

columna_27
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	156054.4

Minimum	2808
Maximum	1154902
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	2808
5-th percentile	6698.25
Q1	15920.25
median	28504
Q3	87141.75
95-th percentile	697869.85
Maximum	1154902
Range	1152094
Interquartile range (IQR)	71221.5

Descriptive statistics

Standard deviation	353583.3504
Coefficient of variation (CV)	2.265769824
Kurtosis	9.592507048
Mean	156054.4
Median Absolute Deviation (MAD)	21373.5
Skewness	3.077511842
Sum	1560544
Variance	1.250211857 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
28957	1	10.0%
28051	1	10.0%
95225	1	10.0%
2808	1	10.0%
62892	1	10.0%
1154902	1	10.0%
23631	1	10.0%
13350	1	10.0%
139275	1	10.0%
11453	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2808	1	10.0%
11453	1	10.0%
13350	1	10.0%
23631	1	10.0%
28051	1	10.0%
28957	1	10.0%
62892	1	10.0%
95225	1	10.0%
139275	1	10.0%
1154902	1	10.0%

Value	Count	Frequency (%)
1154902	1	10.0%
139275	1	10.0%
95225	1	10.0%
62892	1	10.0%
28957	1	10.0%
28051	1	10.0%
23631	1	10.0%
13350	1	10.0%
11453	1	10.0%
2808	1	10.0%

columna_28
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.4

Minimum	8
Maximum	23
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	8
5-th percentile	8
Q1	8
median	10.5
Q3	18.75
95-th percentile	23
Maximum	23
Range	15
Interquartile range (IQR)	10.75

Descriptive statistics

Standard deviation	6.363087999
Coefficient of variation (CV)	0.4748573134
Kurtosis	-1.349220287
Mean	13.4
Median Absolute Deviation (MAD)	2.5
Skewness	0.7429133201
Sum	134
Variance	40.48888889
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
8	4	40.0%
23	2	20.0%
10	1	10.0%
20	1	10.0%
11	1	10.0%
15	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8	4	40.0%
10	1	10.0%
11	1	10.0%
15	1	10.0%
20	1	10.0%
23	2	20.0%

Value	Count	Frequency (%)
23	2	20.0%
20	1	10.0%
15	1	10.0%
11	1	10.0%
10	1	10.0%
8	4	40.0%

columna_29
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	410040.4

Minimum	14040
Maximum	1649860
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	14040
5-th percentile	16840.35
Q1	30670
median	245798.5
Q3	609663.75
95-th percentile	1220791.75
Maximum	1649860
Range	1635820
Interquartile range (IQR)	578993.75

Descriptive statistics

Standard deviation	507802.5255
Coefficient of variation (CV)	1.238420715
Kurtosis	3.735133088
Mean	410040.4
Median Absolute Deviation (MAD)	228647
Skewness	1.814365806
Sum	4100404
Variance	2.578634049 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
231656	1	10.0%
645173	1	10.0%
58600	1	10.0%
14040	1	10.0%
503136	1	10.0%
1649860	1	10.0%
259941	1	10.0%
21360	1	10.0%
696375	1	10.0%
20263	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14040	1	10.0%
20263	1	10.0%
21360	1	10.0%
58600	1	10.0%
231656	1	10.0%
259941	1	10.0%
503136	1	10.0%
645173	1	10.0%
696375	1	10.0%
1649860	1	10.0%

Value	Count	Frequency (%)
1649860	1	10.0%
696375	1	10.0%
645173	1	10.0%
503136	1	10.0%
259941	1	10.0%
231656	1	10.0%
58600	1	10.0%
21360	1	10.0%
20263	1	10.0%
14040	1	10.0%

columna_30
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	40.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

0	6
1	2
3	1
23	1

Length

Max length	2
Median length	1
Mean length	1.1
Min length	1

Characters and Unicode

Total characters	11
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	20.0%

Sample

1st row	1
2nd row	0
3rd row	3
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	6	60.0%
1	2	20.0%
3	1	10.0%
23	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	6	60.0%
1	2	20.0%
3	1	10.0%
23	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	6	54.5%
1	2	18.2%
3	2	18.2%
2	1	9.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6	54.5%
1	2	18.2%
3	2	18.2%
2	1	9.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6	54.5%
1	2	18.2%
3	2	18.2%
2	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6	54.5%
1	2	18.2%
3	2	18.2%
2	1	9.1%

columna_31
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

0	6
28957	1
21975	1
62892	1
61410	1

Length

Max length	5
Median length	1
Mean length	2.6
Min length	1

Characters and Unicode

Total characters	26
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	40.0%

Sample

1st row	28957
2nd row	0
3rd row	21975
4th row	0
5th row	62892

Common Values

Value	Count	Frequency (%)
0	6	60.0%
28957	1	10.0%
21975	1	10.0%
62892	1	10.0%
61410	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	6	60.0%
28957	1	10.0%
21975	1	10.0%
62892	1	10.0%
61410	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	7	26.9%
2	4	15.4%
9	3	11.5%
1	3	11.5%
8	2	7.7%
5	2	7.7%
7	2	7.7%
6	2	7.7%
4	1	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7	26.9%
2	4	15.4%
9	3	11.5%
1	3	11.5%
8	2	7.7%
5	2	7.7%
7	2	7.7%
6	2	7.7%
4	1	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	26	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7	26.9%
2	4	15.4%
9	3	11.5%
1	3	11.5%
8	2	7.7%
5	2	7.7%
7	2	7.7%
6	2	7.7%
4	1	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7	26.9%
2	4	15.4%
9	3	11.5%
1	3	11.5%
8	2	7.7%
5	2	7.7%
7	2	7.7%
6	2	7.7%
4	1	3.8%

columna_32
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	80.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.193247

Minimum	0
Maximum	2.96333
Zeros	2
Zeros (%)	20.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2.3416625
median	2.78583
Q3	2.8018725
95-th percentile	2.9040785
Maximum	2.96333
Range	2.96333
Interquartile range (IQR)	0.46021

Descriptive statistics

Standard deviation	1.173293906
Coefficient of variation (CV)	0.534957488
Kurtosis	1.122324756
Mean	2.193247
Median Absolute Deviation (MAD)	0.032915
Skewness	-1.662309939
Sum	21.93247
Variance	1.376618589
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2.79	2	20.0%
0	2	20.0%
2.78166	1	10.0%
2.83166	1	10.0%
2.19833	1	10.0%
2.77166	1	10.0%
2.80583	1	10.0%
2.96333	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	20.0%
2.19833	1	10.0%
2.77166	1	10.0%
2.78166	1	10.0%
2.79	2	20.0%
2.80583	1	10.0%
2.83166	1	10.0%
2.96333	1	10.0%

Value	Count	Frequency (%)
2.96333	1	10.0%
2.83166	1	10.0%
2.80583	1	10.0%
2.79	2	20.0%
2.78166	1	10.0%
2.77166	1	10.0%
2.19833	1	10.0%
0	2	20.0%

columna_33
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

2021-05-11	3
2021-10-11	2
2021-05-10	2
2021-11-25	1
2021-01-11	1

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	100
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	30.0%

Sample

1st row	2021-05-11
2nd row	2021-10-11
3rd row	2021-05-11
4th row	2021-05-10
5th row	2021-05-11

Common Values

Value	Count	Frequency (%)
2021-05-11	3	30.0%
2021-10-11	2	20.0%
2021-05-10	2	20.0%
2021-11-25	1	10.0%
2021-01-11	1	10.0%
2021-10-10	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2021-05-11	3	30.0%
2021-10-11	2	20.0%
2021-05-10	2	20.0%
2021-11-25	1	10.0%
2021-01-11	1	10.0%
2021-10-10	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
1	31	31.0%
0	22	22.0%
2	21	21.0%
-	20	20.0%
5	6	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	80	80.0%
Dash Punctuation	20	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	31	38.8%
0	22	27.5%
2	21	26.2%
5	6	7.5%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	100	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	31	31.0%
0	22	22.0%
2	21	21.0%
-	20	20.0%
5	6	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	31	31.0%
0	22	22.0%
2	21	21.0%
-	20	20.0%
5	6	6.0%

columna_34
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	9
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

2021-05-10	2
2021-10-10	1
2020-05-10	1
2021-05-08	1
2020-09-25	1
Other values (4)	4

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	100
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	80.0%

Sample

1st row	2021-05-10
2nd row	2021-10-10
3rd row	2020-05-10
4th row	2021-05-08
5th row	2021-05-10

Common Values

Value	Count	Frequency (%)
2021-05-10	2	20.0%
2021-10-10	1	10.0%
2020-05-10	1	10.0%
2021-05-08	1	10.0%
2020-09-25	1	10.0%
2021-01-10	1	10.0%
2021-10-06	1	10.0%
2021-10-07	1	10.0%
2020-05-09	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2021-05-10	2	20.0%
2021-10-10	1	10.0%
2020-05-10	1	10.0%
2021-05-08	1	10.0%
2020-09-25	1	10.0%
2021-01-10	1	10.0%
2021-10-06	1	10.0%
2021-10-07	1	10.0%
2020-05-09	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	32	32.0%
2	21	21.0%
-	20	20.0%
1	16	16.0%
5	6	6.0%
9	2	2.0%
8	1	1.0%
6	1	1.0%
7	1	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	80	80.0%
Dash Punctuation	20	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32	40.0%
2	21	26.2%
1	16	20.0%
5	6	7.5%
9	2	2.5%
8	1	1.2%
6	1	1.2%
7	1	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	100	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	32	32.0%
2	21	21.0%
-	20	20.0%
1	16	16.0%
5	6	6.0%
9	2	2.0%
8	1	1.0%
6	1	1.0%
7	1	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	32	32.0%
2	21	21.0%
-	20	20.0%
1	16	16.0%
5	6	6.0%
9	2	2.0%
8	1	1.0%
6	1	1.0%
7	1	1.0%

columna_35
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	297.7

Minimum	1
Maximum	500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	121.25
median	375.5
Q3	463
95-th percentile	483.35
Maximum	500
Range	499
Interquartile range (IQR)	341.75

Descriptive statistics

Standard deviation	204.7747
Coefficient of variation (CV)	0.6878558953
Kurtosis	-1.53135731
Mean	297.7
Median Absolute Deviation (MAD)	101.5
Skewness	-0.5983219547
Sum	2977
Variance	41932.67778
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
463	4	40.0%
1	2	20.0%
260	1	10.0%
75	1	10.0%
500	1	10.0%
288	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	20.0%
75	1	10.0%
260	1	10.0%
288	1	10.0%
463	4	40.0%
500	1	10.0%

Value	Count	Frequency (%)
500	1	10.0%
463	4	40.0%
288	1	10.0%
260	1	10.0%
75	1	10.0%
1	2	20.0%

columna_36
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

2021-09-30	1
2022-01-05	1
2021-11-10	1
2021-07-09	1
2021-07-10	1
Other values (5)	5

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	100
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	100.0%

Sample

1st row	2021-09-30
2nd row	2022-01-05
3rd row	2021-11-10
4th row	2021-07-09
5th row	2021-07-10

Common Values

Value	Count	Frequency (%)
2021-09-30	1	10.0%
2022-01-05	1	10.0%
2021-11-10	1	10.0%
2021-07-09	1	10.0%
2021-07-10	1	10.0%
2021-10-26	1	10.0%
2021-04-11	1	10.0%
2021-05-10	1	10.0%
2021-09-15	1	10.0%
2021-09-14	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2021-09-30	1	10.0%
2022-01-05	1	10.0%
2021-11-10	1	10.0%
2021-07-09	1	10.0%
2021-07-10	1	10.0%
2021-10-26	1	10.0%
2021-04-11	1	10.0%
2021-05-10	1	10.0%
2021-09-15	1	10.0%
2021-09-14	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	25	25.0%
2	22	22.0%
1	20	20.0%
-	20	20.0%
9	4	4.0%
5	3	3.0%
7	2	2.0%
4	2	2.0%
3	1	1.0%
6	1	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	80	80.0%
Dash Punctuation	20	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	25	31.2%
2	22	27.5%
1	20	25.0%
9	4	5.0%
5	3	3.8%
7	2	2.5%
4	2	2.5%
3	1	1.2%
6	1	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	100	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	25	25.0%
2	22	22.0%
1	20	20.0%
-	20	20.0%
9	4	4.0%
5	3	3.0%
7	2	2.0%
4	2	2.0%
3	1	1.0%
6	1	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	25	25.0%
2	22	22.0%
1	20	20.0%
-	20	20.0%
9	4	4.0%
5	3	3.0%
7	2	2.0%
4	2	2.0%
3	1	1.0%
6	1	1.0%

columna_37
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	80.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

2021-08-08	2
2020-01-06	2
2021-06-29	1
2021-10-09	1
2021-08-31	1
Other values (3)	3

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	100
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	60.0%

Sample

1st row	2021-08-08
2nd row	2021-08-08
3rd row	2020-01-06
4th row	2021-06-29
5th row	2021-10-09

Common Values

Value	Count	Frequency (%)
2021-08-08	2	20.0%
2020-01-06	2	20.0%
2021-06-29	1	10.0%
2021-10-09	1	10.0%
2021-08-31	1	10.0%
2021-11-05	1	10.0%
2021-01-06	1	10.0%
2020-11-05	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2021-08-08	2	20.0%
2020-01-06	2	20.0%
2021-06-29	1	10.0%
2021-10-09	1	10.0%
2021-08-31	1	10.0%
2021-11-05	1	10.0%
2021-01-06	1	10.0%
2020-11-05	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	29	29.0%
2	21	21.0%
-	20	20.0%
1	16	16.0%
8	5	5.0%
6	4	4.0%
9	2	2.0%
5	2	2.0%
3	1	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	80	80.0%
Dash Punctuation	20	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	29	36.2%
2	21	26.2%
1	16	20.0%
8	5	6.2%
6	4	5.0%
9	2	2.5%
5	2	2.5%
3	1	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	100	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	29	29.0%
2	21	21.0%
-	20	20.0%
1	16	16.0%
8	5	5.0%
6	4	4.0%
9	2	2.0%
5	2	2.0%
3	1	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	29	29.0%
2	21	21.0%
-	20	20.0%
1	16	16.0%
8	5	5.0%
6	4	4.0%
9	2	2.0%
5	2	2.0%
3	1	1.0%

columna_38
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	20.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

24101	9
24141	1

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	50
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	10.0%

Sample

1st row	24141
2nd row	24101
3rd row	24101
4th row	24101
5th row	24101

Common Values

Value	Count	Frequency (%)
24101	9	90.0%
24141	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
24101	9	90.0%
24141	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
1	20	40.0%
4	11	22.0%
2	10	20.0%
0	9	18.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	20	40.0%
4	11	22.0%
2	10	20.0%
0	9	18.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	50	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	20	40.0%
4	11	22.0%
2	10	20.0%
0	9	18.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	20	40.0%
4	11	22.0%
2	10	20.0%
0	9	18.0%

columna_39
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	297.7

Minimum	1
Maximum	500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	121.25
median	375.5
Q3	463
95-th percentile	483.35
Maximum	500
Range	499
Interquartile range (IQR)	341.75

Descriptive statistics

Standard deviation	204.7747
Coefficient of variation (CV)	0.6878558953
Kurtosis	-1.53135731
Mean	297.7
Median Absolute Deviation (MAD)	101.5
Skewness	-0.5983219547
Sum	2977
Variance	41932.67778
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
463	4	40.0%
1	2	20.0%
260	1	10.0%
75	1	10.0%
500	1	10.0%
288	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	20.0%
75	1	10.0%
260	1	10.0%
288	1	10.0%
463	4	40.0%
500	1	10.0%

Value	Count	Frequency (%)
500	1	10.0%
463	4	40.0%
288	1	10.0%
260	1	10.0%
75	1	10.0%
1	2	20.0%

columna_40
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

C	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	C
2nd row	C
3rd row	C
4th row	C
5th row	C

Common Values

Value	Count	Frequency (%)
C	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
c	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
C	10	100.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	10	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	10	100.0%

columna_41
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

252	4
433	2
432	2
347	1
254	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	30
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	20.0%

Sample

1st row	433
2nd row	433
3rd row	252
4th row	432
5th row	252

Common Values

Value	Count	Frequency (%)
252	4	40.0%
433	2	20.0%
432	2	20.0%
347	1	10.0%
254	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
252	4	40.0%
433	2	20.0%
432	2	20.0%
347	1	10.0%
254	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
2	11	36.7%
3	7	23.3%
4	6	20.0%
5	5	16.7%
7	1	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	30	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	11	36.7%
3	7	23.3%
4	6	20.0%
5	5	16.7%
7	1	3.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	30	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	11	36.7%
3	7	23.3%
4	6	20.0%
5	5	16.7%
7	1	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	11	36.7%
3	7	23.3%
4	6	20.0%
5	5	16.7%
7	1	3.3%

columna_42
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.771116905 × 10¹⁰

Minimum	1.062035591 × 10¹⁰
Maximum	1.105217528 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	1.062035591 × 10¹⁰
5-th percentile	1.062035592 × 10¹⁰
Q1	1.064679407 × 10¹⁰
median	5.587142311 × 10¹⁰
Q3	1.008963401 × 10¹¹
95-th percentile	1.105210361 × 10¹¹
Maximum	1.105217528 × 10¹¹
Range	9.990139691 × 10¹⁰
Interquartile range (IQR)	9.024954598 × 10¹⁰

Descriptive statistics

Standard deviation	4.967868812 × 10¹⁰
Coefficient of variation (CV)	0.860815834
Kurtosis	-2.534370682
Mean	5.771116905 × 10¹⁰
Median Absolute Deviation (MAD)	4.519980146 × 10¹⁰
Skewness	0.01814781673
Sum	5.771116905 × 10¹¹
Variance	2.467972053 × 10²¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1.008217752 × 10¹¹	1	10.0%
1.008217842 × 10¹¹	1	10.0%
1.062035594 × 10¹⁰	1	10.0%
1.072127682 × 10¹⁰	1	10.0%
1.00921192 × 10¹¹	1	10.0%
1.062035591 × 10¹⁰	1	10.0%
1.092107106 × 10¹⁰	1	10.0%
1.105217528 × 10¹¹	1	10.0%
1.062196649 × 10¹⁰	1	10.0%
1.105201601 × 10¹¹	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.062035591 × 10¹⁰	1	10.0%
1.062035594 × 10¹⁰	1	10.0%
1.062196649 × 10¹⁰	1	10.0%
1.072127682 × 10¹⁰	1	10.0%
1.092107106 × 10¹⁰	1	10.0%
1.008217752 × 10¹¹	1	10.0%
1.008217842 × 10¹¹	1	10.0%
1.00921192 × 10¹¹	1	10.0%
1.105201601 × 10¹¹	1	10.0%
1.105217528 × 10¹¹	1	10.0%

Value	Count	Frequency (%)
1.105217528 × 10¹¹	1	10.0%
1.105201601 × 10¹¹	1	10.0%
1.00921192 × 10¹¹	1	10.0%
1.008217842 × 10¹¹	1	10.0%
1.008217752 × 10¹¹	1	10.0%
1.092107106 × 10¹⁰	1	10.0%
1.072127682 × 10¹⁰	1	10.0%
1.062196649 × 10¹⁰	1	10.0%
1.062035594 × 10¹⁰	1	10.0%
1.062035591 × 10¹⁰	1	10.0%

columna_43
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.771116905 × 10¹⁰

Minimum	1.062035591 × 10¹⁰
Maximum	1.105217528 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	1.062035591 × 10¹⁰
5-th percentile	1.062035592 × 10¹⁰
Q1	1.064679407 × 10¹⁰
median	5.587142311 × 10¹⁰
Q3	1.008963401 × 10¹¹
95-th percentile	1.105210361 × 10¹¹
Maximum	1.105217528 × 10¹¹
Range	9.990139691 × 10¹⁰
Interquartile range (IQR)	9.024954598 × 10¹⁰

Descriptive statistics

Standard deviation	4.967868812 × 10¹⁰
Coefficient of variation (CV)	0.860815834
Kurtosis	-2.534370682
Mean	5.771116905 × 10¹⁰
Median Absolute Deviation (MAD)	4.519980146 × 10¹⁰
Skewness	0.01814781673
Sum	5.771116905 × 10¹¹
Variance	2.467972053 × 10²¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1.008217752 × 10¹¹	1	10.0%
1.008217842 × 10¹¹	1	10.0%
1.062035594 × 10¹⁰	1	10.0%
1.072127682 × 10¹⁰	1	10.0%
1.00921192 × 10¹¹	1	10.0%
1.062035591 × 10¹⁰	1	10.0%
1.092107106 × 10¹⁰	1	10.0%
1.105217528 × 10¹¹	1	10.0%
1.062196649 × 10¹⁰	1	10.0%
1.105201601 × 10¹¹	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.062035591 × 10¹⁰	1	10.0%
1.062035594 × 10¹⁰	1	10.0%
1.062196649 × 10¹⁰	1	10.0%
1.072127682 × 10¹⁰	1	10.0%
1.092107106 × 10¹⁰	1	10.0%
1.008217752 × 10¹¹	1	10.0%
1.008217842 × 10¹¹	1	10.0%
1.00921192 × 10¹¹	1	10.0%
1.105201601 × 10¹¹	1	10.0%
1.105217528 × 10¹¹	1	10.0%

Value	Count	Frequency (%)
1.105217528 × 10¹¹	1	10.0%
1.105201601 × 10¹¹	1	10.0%
1.00921192 × 10¹¹	1	10.0%
1.008217842 × 10¹¹	1	10.0%
1.008217752 × 10¹¹	1	10.0%
1.092107106 × 10¹⁰	1	10.0%
1.072127682 × 10¹⁰	1	10.0%
1.062196649 × 10¹⁰	1	10.0%
1.062035594 × 10¹⁰	1	10.0%
1.062035591 × 10¹⁰	1	10.0%

columna_44
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	80.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

2022-07-05	3
2023-09-10	1
2022-09-05	1
2023-06-25	1
2022-09-01	1
Other values (3)	3

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	100
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	70.0%

Sample

1st row	2022-07-05
2nd row	2023-09-10
3rd row	2022-09-05
4th row	2022-07-05
5th row	2022-07-05

Common Values

Value	Count	Frequency (%)
2022-07-05	3	30.0%
2023-09-10	1	10.0%
2022-09-05	1	10.0%
2023-06-25	1	10.0%
2022-09-01	1	10.0%
2024-05-10	1	10.0%
2022-12-10	1	10.0%
2023-08-05	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2022-07-05	3	30.0%
2023-09-10	1	10.0%
2022-09-05	1	10.0%
2023-06-25	1	10.0%
2022-09-01	1	10.0%
2024-05-10	1	10.0%
2022-12-10	1	10.0%
2023-08-05	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
2	28	28.0%
0	28	28.0%
-	20	20.0%
5	7	7.0%
1	5	5.0%
7	3	3.0%
3	3	3.0%
9	3	3.0%
6	1	1.0%
4	1	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	80	80.0%
Dash Punctuation	20	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	28	35.0%
0	28	35.0%
5	7	8.8%
1	5	6.2%
7	3	3.8%
3	3	3.8%
9	3	3.8%
6	1	1.2%
4	1	1.2%
8	1	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	100	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	28	28.0%
0	28	28.0%
-	20	20.0%
5	7	7.0%
1	5	5.0%
7	3	3.0%
3	3	3.0%
9	3	3.0%
6	1	1.0%
4	1	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	28	28.0%
0	28	28.0%
-	20	20.0%
5	7	7.0%
1	5	5.0%
7	3	3.0%
3	3	3.0%
9	3	3.0%
6	1	1.0%
4	1	1.0%

columna_45
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10
Missing (%)	100.0%
Memory size	208.0 B

columna_46
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	40.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

2.- Coas	4
7.- Refinanciamiento	4
3.- Avance	1
5.- Repactado	1

Length

Max length	20
Median length	13
Mean length	13.5
Min length	8

Characters and Unicode

Total characters	135
Distinct characters	23
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	20.0%

Sample

1st row	2.- Coas
2nd row	2.- Coas
3rd row	7.- Refinanciamiento
4th row	2.- Coas
5th row	7.- Refinanciamiento

Common Values

Value	Count	Frequency (%)
2.- Coas	4	40.0%
7.- Refinanciamiento	4	40.0%
3.- Avance	1	10.0%
5.- Repactado	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	4	20.0%
coas	4	20.0%
7	4	20.0%
refinanciamiento	4	20.0%
3	1	5.0%
avance	1	5.0%
5	1	5.0%
repactado	1	5.0%

Most occurring characters

Value	Count	Frequency (%)
a	15	11.1%
n	13	9.6%
i	12	8.9%
-	10	7.4%
	10	7.4%
e	10	7.4%
.	10	7.4%
o	9	6.7%
c	6	4.4%
t	5	3.7%
Other values (13)	35	25.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	85	63.0%
Dash Punctuation	10	7.4%
Space Separator	10	7.4%
Other Punctuation	10	7.4%
Uppercase Letter	10	7.4%
Decimal Number	10	7.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	15	17.6%
n	13	15.3%
i	12	14.1%
e	10	11.8%
o	9	10.6%
c	6	7.1%
t	5	5.9%
m	4	4.7%
f	4	4.7%
s	4	4.7%
Other values (3)	3	3.5%

Decimal Number

Value	Count	Frequency (%)
2	4	40.0%
7	4	40.0%
3	1	10.0%
5	1	10.0%

Uppercase Letter

Value	Count	Frequency (%)
R	5	50.0%
C	4	40.0%
A	1	10.0%

Dash Punctuation

Value	Count	Frequency (%)
-	10	100.0%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	95	70.4%
Common	40	29.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	15	15.8%
n	13	13.7%
i	12	12.6%
e	10	10.5%
o	9	9.5%
c	6	6.3%
t	5	5.3%
R	5	5.3%
m	4	4.2%
f	4	4.2%
Other values (6)	12	12.6%

Common

Value	Count	Frequency (%)
-	10	25.0%
	10	25.0%
.	10	25.0%
2	4	10.0%
7	4	10.0%
3	1	2.5%
5	1	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	135	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	15	11.1%
n	13	9.6%
i	12	8.9%
-	10	7.4%
	10	7.4%
e	10	7.4%
.	10	7.4%
o	9	6.7%
c	6	4.4%
t	5	3.7%
Other values (13)	35	25.9%

columna_47
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10
Missing (%)	100.0%
Memory size	208.0 B

columna_48
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

RENEGOCIACION X X REFINANCIAMIENTO TOTAL	4
Compra Cuotas Emisor	2
Compra Cuotas Comercio TRANSBANK	2
AVANCE_ABCDIN	1
RENEGOCIACION X REPACTACION	1

Length

Max length	40
Median length	32
Mean length	30.4
Min length	13

Characters and Unicode

Total characters	304
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	20.0%

Sample

1st row	Compra Cuotas Emisor
2nd row	Compra Cuotas Emisor
3rd row	RENEGOCIACION X X REFINANCIAMIENTO TOTAL
4th row	Compra Cuotas Comercio TRANSBANK
5th row	RENEGOCIACION X X REFINANCIAMIENTO TOTAL

Common Values

Value	Count	Frequency (%)
RENEGOCIACION X X REFINANCIAMIENTO TOTAL	4	40.0%
Compra Cuotas Emisor	2	20.0%
Compra Cuotas Comercio TRANSBANK	2	20.0%
AVANCE_ABCDIN	1	10.0%
RENEGOCIACION X REPACTACION	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
x	9	23.7%
renegociacion	5	13.2%
refinanciamiento	4	10.5%
total	4	10.5%
compra	4	10.5%
cuotas	4	10.5%
emisor	2	5.3%
comercio	2	5.3%
transbank	2	5.3%
avance_abcdin	1	2.6%

Most occurring characters

Value	Count	Frequency (%)
N	29	9.5%
C	28	9.2%
	28	9.2%
A	26	8.6%
I	24	7.9%
E	22	7.2%
O	19	6.2%
T	15	4.9%
o	14	4.6%
R	12	3.9%
Other values (22)	87	28.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	211	69.4%
Lowercase Letter	64	21.1%
Space Separator	28	9.2%
Connector Punctuation	1	0.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	29	13.7%
C	28	13.3%
A	26	12.3%
I	24	11.4%
E	22	10.4%
O	19	9.0%
T	15	7.1%
R	12	5.7%
X	9	4.3%
G	5	2.4%
Other values (9)	22	10.4%

Lowercase Letter

Value	Count	Frequency (%)
o	14	21.9%
m	8	12.5%
r	8	12.5%
a	8	12.5%
s	6	9.4%
i	4	6.2%
t	4	6.2%
u	4	6.2%
p	4	6.2%
e	2	3.1%

Space Separator

Value	Count	Frequency (%)
	28	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	275	90.5%
Common	29	9.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	29	10.5%
C	28	10.2%
A	26	9.5%
I	24	8.7%
E	22	8.0%
O	19	6.9%
T	15	5.5%
o	14	5.1%
R	12	4.4%
X	9	3.3%
Other values (20)	77	28.0%

Common

Value	Count	Frequency (%)
	28	96.6%
_	1	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	304	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	29	9.5%
C	28	9.2%
	28	9.2%
A	26	8.6%
I	24	7.9%
E	22	7.2%
O	19	6.2%
T	15	4.9%
o	14	4.6%
R	12	3.9%
Other values (22)	87	28.6%

columna_49
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10
Missing (%)	100.0%
Memory size	208.0 B

columna_50
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

5	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	5
3rd row	5
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
5	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
5	10	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	10	100.0%

columna_51
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	422564.6

Minimum	16842
Maximum	1835009
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	16842
5-th percentile	17140.35
Q1	73976.5
median	263265
Q3	524499
95-th percentile	1297885.85
Maximum	1835009
Range	1818167
Interquartile range (IQR)	450522.5

Descriptive statistics

Standard deviation	544192.8453
Coefficient of variation (CV)	1.287833494
Kurtosis	5.774491608
Mean	422564.6
Median Absolute Deviation (MAD)	226087.5
Skewness	2.250969277
Sum	4225646
Variance	2.961458529 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
242960	1	10.0%
469680	1	10.0%
115906	1	10.0%
16842	1	10.0%
542772	1	10.0%
1835009	1	10.0%
283570	1	10.0%
60000	1	10.0%
641402	1	10.0%
17505	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16842	1	10.0%
17505	1	10.0%
60000	1	10.0%
115906	1	10.0%
242960	1	10.0%
283570	1	10.0%
469680	1	10.0%
542772	1	10.0%
641402	1	10.0%
1835009	1	10.0%

Value	Count	Frequency (%)
1835009	1	10.0%
641402	1	10.0%
542772	1	10.0%
469680	1	10.0%
283570	1	10.0%
242960	1	10.0%
115906	1	10.0%
60000	1	10.0%
17505	1	10.0%
16842	1	10.0%

columna_52
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

2021-11-05	3
2021-11-10	2
2021-10-05	2
2021-11-25	1
2021-11-01	1

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	100
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	30.0%

Sample

1st row	2021-11-05
2nd row	2021-11-10
3rd row	2021-11-05
4th row	2021-10-05
5th row	2021-11-05

Common Values

Value	Count	Frequency (%)
2021-11-05	3	30.0%
2021-11-10	2	20.0%
2021-10-05	2	20.0%
2021-11-25	1	10.0%
2021-11-01	1	10.0%
2021-10-10	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2021-11-05	3	30.0%
2021-11-10	2	20.0%
2021-10-05	2	20.0%
2021-11-25	1	10.0%
2021-11-01	1	10.0%
2021-10-10	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
1	31	31.0%
0	22	22.0%
2	21	21.0%
-	20	20.0%
5	6	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	80	80.0%
Dash Punctuation	20	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	31	38.8%
0	22	27.5%
2	21	26.2%
5	6	7.5%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	100	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	31	31.0%
0	22	22.0%
2	21	21.0%
-	20	20.0%
5	6	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	31	31.0%
0	22	22.0%
2	21	21.0%
-	20	20.0%
5	6	6.0%

columna_53
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10
Missing (%)	100.0%
Memory size	208.0 B

columna_54
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10
Missing (%)	100.0%
Memory size	208.0 B

columna_55
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	690.7

Minimum	298
Maximum	1181
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	298
5-th percentile	312.85
Q1	367.25
median	660
Q3	1027.75
95-th percentile	1153.1
Maximum	1181
Range	883
Interquartile range (IQR)	660.5

Descriptive statistics

Standard deviation	352.757093
Coefficient of variation (CV)	0.5107240379
Kurtosis	-1.789189644
Mean	690.7
Median Absolute Deviation (MAD)	311.5
Skewness	0.2815221796
Sum	6907
Variance	124437.5667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
331	1	10.0%
763	1	10.0%
826	1	10.0%
371	1	10.0%
298	1	10.0%
1119	1	10.0%
366	1	10.0%
1095	1	10.0%
557	1	10.0%
1181	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
298	1	10.0%
331	1	10.0%
366	1	10.0%
371	1	10.0%
557	1	10.0%
763	1	10.0%
826	1	10.0%
1095	1	10.0%
1119	1	10.0%
1181	1	10.0%

Value	Count	Frequency (%)
1181	1	10.0%
1119	1	10.0%
1095	1	10.0%
826	1	10.0%
763	1	10.0%
557	1	10.0%
371	1	10.0%
366	1	10.0%
331	1	10.0%
298	1	10.0%

columna_56
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	246.3

Minimum	217
Maximum	268
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	217
5-th percentile	223.75
Q1	237
median	239
Q3	263
95-th percentile	268
Maximum	268
Range	51
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	17.79544261
Coefficient of variation (CV)	0.07225108653
Kurtosis	-1.290044839
Mean	246.3
Median Absolute Deviation (MAD)	14.5
Skewness	-0.02189425218
Sum	2463
Variance	316.6777778
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
237	3	30.0%
263	2	20.0%
268	2	20.0%
217	1	10.0%
241	1	10.0%
232	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
217	1	10.0%
232	1	10.0%
237	3	30.0%
241	1	10.0%
263	2	20.0%
268	2	20.0%

Value	Count	Frequency (%)
268	2	20.0%
263	2	20.0%
241	1	10.0%
237	3	30.0%
232	1	10.0%
217	1	10.0%

columna_57
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10
Missing (%)	100.0%
Memory size	208.0 B

columna_58
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10
Missing (%)	100.0%
Memory size	208.0 B

columna_59
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10
Missing (%)	100.0%
Memory size	208.0 B

columna_60
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

1	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	10	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	10	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	10	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	10	100.0%

columna_61
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	583618.2

Minimum	16848
Maximum	2804762
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	16848
5-th percentile	23538.6
Q1	116040
median	286571
Q3	662148
95-th percentile	1918661.6
Maximum	2804762
Range	2787914
Interquartile range (IQR)	546108

Descriptive statistics

Standard deviation	830887.6113
Coefficient of variation (CV)	1.423683517
Kurtosis	6.943500111
Mean	583618.2
Median Absolute Deviation (MAD)	262289
Skewness	2.515321397
Sum	5836182
Variance	6.903742227 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
289570	1	10.0%
673224	1	10.0%
175800	1	10.0%
16848	1	10.0%
628920	1	10.0%
2804762	1	10.0%
283572	1	10.0%
96120	1	10.0%
835650	1	10.0%
31716	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16848	1	10.0%
31716	1	10.0%
96120	1	10.0%
175800	1	10.0%
283572	1	10.0%
289570	1	10.0%
628920	1	10.0%
673224	1	10.0%
835650	1	10.0%
2804762	1	10.0%

Value	Count	Frequency (%)
2804762	1	10.0%
835650	1	10.0%
673224	1	10.0%
628920	1	10.0%
289570	1	10.0%
283572	1	10.0%
175800	1	10.0%
96120	1	10.0%
31716	1	10.0%
16848	1	10.0%

columna_62
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	9
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1382697.992

Minimum	0
Maximum	6165792.447
Zeros	2
Zeros (%)	20.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	137091.7205
median	648458.064
Q3	1853943.122
95-th percentile	4446297.174
Maximum	6165792.447
Range	6165792.447
Interquartile range (IQR)	1716851.401

Descriptive statistics

Standard deviation	1887598.106
Coefficient of variation (CV)	1.365155744
Kurtosis	4.887829736
Mean	1382697.992
Median Absolute Deviation (MAD)	648458.064
Skewness	2.081212943
Sum	13826979.92
Variance	3.563026609 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	2	20.0%
807900.3	1	10.0%
1878294.96	1	10.0%
489015.828	1	10.0%
1780887.607	1	10.0%
6165792.447	1	10.0%
266411.9592	1	10.0%
2344691.839	1	10.0%
93984.97428	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	20.0%
93984.97428	1	10.0%
266411.9592	1	10.0%
489015.828	1	10.0%
807900.3	1	10.0%
1780887.607	1	10.0%
1878294.96	1	10.0%
2344691.839	1	10.0%
6165792.447	1	10.0%

Value	Count	Frequency (%)
6165792.447	1	10.0%
2344691.839	1	10.0%
1878294.96	1	10.0%
1780887.607	1	10.0%
807900.3	1	10.0%
489015.828	1	10.0%
266411.9592	1	10.0%
93984.97428	1	10.0%
0	2	20.0%

columna_63
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	80.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.193247

Minimum	0
Maximum	2.96333
Zeros	2
Zeros (%)	20.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2.3416625
median	2.78583
Q3	2.8018725
95-th percentile	2.9040785
Maximum	2.96333
Range	2.96333
Interquartile range (IQR)	0.46021

Descriptive statistics

Standard deviation	1.173293906
Coefficient of variation (CV)	0.534957488
Kurtosis	1.122324756
Mean	2.193247
Median Absolute Deviation (MAD)	0.032915
Skewness	-1.662309939
Sum	21.93247
Variance	1.376618589
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2.79	2	20.0%
0	2	20.0%
2.78166	1	10.0%
2.83166	1	10.0%
2.19833	1	10.0%
2.77166	1	10.0%
2.80583	1	10.0%
2.96333	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	20.0%
2.19833	1	10.0%
2.77166	1	10.0%
2.78166	1	10.0%
2.79	2	20.0%
2.80583	1	10.0%
2.83166	1	10.0%
2.96333	1	10.0%

Value	Count	Frequency (%)
2.96333	1	10.0%
2.83166	1	10.0%
2.80583	1	10.0%
2.79	2	20.0%
2.78166	1	10.0%
2.77166	1	10.0%
2.19833	1	10.0%
0	2	20.0%

columna_64
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	9
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48229.2

Minimum	0
Maximum	183545
Zeros	2
Zeros (%)	20.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5014.25
median	21957.5
Q3	80547
95-th percentile	139512.5
Maximum	183545
Range	183545
Interquartile range (IQR)	75532.75

Descriptive statistics

Standard deviation	58875.67459
Coefficient of variation (CV)	1.220747485
Kurtosis	2.162133087
Mean	48229.2
Median Absolute Deviation (MAD)	21957.5
Skewness	1.473105151
Sum	482292
Variance	3466345059
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	2	20.0%
32550	1	10.0%
83514	1	10.0%
10937	1	10.0%
71646	1	10.0%
183545	1	10.0%
11365	1	10.0%
85695	1	10.0%
3040	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	20.0%
3040	1	10.0%
10937	1	10.0%
11365	1	10.0%
32550	1	10.0%
71646	1	10.0%
83514	1	10.0%
85695	1	10.0%
183545	1	10.0%

Value	Count	Frequency (%)
183545	1	10.0%
85695	1	10.0%
83514	1	10.0%
71646	1	10.0%
32550	1	10.0%
11365	1	10.0%
10937	1	10.0%
3040	1	10.0%
0	2	20.0%

columna_65
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	208.0 B

0	6
28173	1
20804	1
61168	1
44796	1

Length

Max length	5
Median length	1
Mean length	2.6
Min length	1

Characters and Unicode

Total characters	26
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	40.0%

Sample

1st row	28173
2nd row	0
3rd row	20804
4th row	0
5th row	61168

Common Values

Value	Count	Frequency (%)
0	6	60.0%
28173	1	10.0%
20804	1	10.0%
61168	1	10.0%
44796	1	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	6	60.0%
28173	1	10.0%
20804	1	10.0%
61168	1	10.0%
44796	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	8	30.8%
8	3	11.5%
1	3	11.5%
4	3	11.5%
6	3	11.5%
2	2	7.7%
7	2	7.7%
3	1	3.8%
9	1	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8	30.8%
8	3	11.5%
1	3	11.5%
4	3	11.5%
6	3	11.5%
2	2	7.7%
7	2	7.7%
3	1	3.8%
9	1	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	26	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8	30.8%
8	3	11.5%
1	3	11.5%
4	3	11.5%
6	3	11.5%
2	2	7.7%
7	2	7.7%
3	1	3.8%
9	1	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8	30.8%
8	3	11.5%
1	3	11.5%
4	3	11.5%
6	3	11.5%
2	2	7.7%
7	2	7.7%
3	1	3.8%
9	1	3.8%

columna_66
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	331200.3

Minimum	8895
Maximum	1319527
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	8895
5-th percentile	11151.75
Q1	22370
median	229522.5
Q3	459906
95-th percentile	972582.85
Maximum	1319527
Range	1310632
Interquartile range (IQR)	437536

Descriptive statistics

Standard deviation	402939.7884
Coefficient of variation (CV)	1.216604539
Kurtosis	3.896000773
Mean	331200.3
Median Absolute Deviation (MAD)	215598
Skewness	1.818284702
Sum	3312003
Variance	1.623604731 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
199106	1	10.0%
469570	1	10.0%
47663	1	10.0%
13939	1	10.0%
430914	1	10.0%
1319527	1	10.0%
259939	1	10.0%
8895	1	10.0%
548540	1	10.0%
13910	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8895	1	10.0%
13910	1	10.0%
13939	1	10.0%
47663	1	10.0%
199106	1	10.0%
259939	1	10.0%
430914	1	10.0%
469570	1	10.0%
548540	1	10.0%
1319527	1	10.0%

Value	Count	Frequency (%)
1319527	1	10.0%
548540	1	10.0%
469570	1	10.0%
430914	1	10.0%
259939	1	10.0%
199106	1	10.0%
47663	1	10.0%
13939	1	10.0%
13910	1	10.0%
8895	1	10.0%

columna_67
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	10
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	346694.4

Minimum	13910
Maximum	1319527
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	13910
5-th percentile	13923.05
Q1	57385
median	243609
Q3	486454
95-th percentile	972582.85
Maximum	1319527
Range	1305617
Interquartile range (IQR)	429069

Descriptive statistics

Standard deviation	398594.8249
Coefficient of variation (CV)	1.149700788
Kurtosis	3.755143954
Mean	346694.4
Median Absolute Deviation (MAD)	227815.5
Skewness	1.778873641
Sum	3466944
Variance	1.588778344 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
227279	1	10.0%
469570	1	10.0%
68467	1	10.0%
13939	1	10.0%
492082	1	10.0%
1319527	1	10.0%
259939	1	10.0%
53691	1	10.0%
548540	1	10.0%
13910	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13910	1	10.0%
13939	1	10.0%
53691	1	10.0%
68467	1	10.0%
227279	1	10.0%
259939	1	10.0%
469570	1	10.0%
492082	1	10.0%
548540	1	10.0%
1319527	1	10.0%

Value	Count	Frequency (%)
1319527	1	10.0%
548540	1	10.0%
492082	1	10.0%
469570	1	10.0%
259939	1	10.0%
227279	1	10.0%
68467	1	10.0%
53691	1	10.0%
13939	1	10.0%
13910	1	10.0%

columna_68
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	9
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48229.2

Minimum	0
Maximum	183545
Zeros	2
Zeros (%)	20.0%
Negative	0
Negative (%)	0.0%
Memory size	208.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5014.25
median	21957.5
Q3	80547
95-th percentile	139512.5
Maximum	183545
Range	183545
Interquartile range (IQR)	75532.75

Descriptive statistics

Standard deviation	58875.67459
Coefficient of variation (CV)	1.220747485
Kurtosis	2.162133087
Mean	48229.2
Median Absolute Deviation (MAD)	21957.5
Skewness	1.473105151
Sum	482292
Variance	3466345059
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	2	20.0%
32550	1	10.0%
83514	1	10.0%
10937	1	10.0%
71646	1	10.0%
183545	1	10.0%
11365	1	10.0%
85695	1	10.0%
3040	1	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	20.0%
3040	1	10.0%
10937	1	10.0%
11365	1	10.0%
32550	1	10.0%
71646	1	10.0%
83514	1	10.0%
85695	1	10.0%
183545	1	10.0%

Value	Count	Frequency (%)
183545	1	10.0%
85695	1	10.0%
83514	1	10.0%
71646	1	10.0%
32550	1	10.0%
11365	1	10.0%
10937	1	10.0%
3040	1	10.0%
0	2	20.0%

columna_69
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10
Missing (%)	100.0%
Memory size	208.0 B

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Matrix
Dendrogram

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	columna_0	columna_1	columna_2	columna_3	columna_4	columna_5	columna_6	columna_7	columna_8	columna_9	columna_10	columna_11	columna_12	columna_13	columna_15	columna_21	columna_24	columna_25	columna_26	columna_27	columna_28	columna_29	columna_30	columna_31	columna_32	columna_33	columna_34	columna_35	columna_36	columna_37	columna_38	columna_39	columna_40	columna_41	columna_42	columna_43	columna_44	columna_45	columna_46	columna_47	columna_48	columna_49	columna_50	columna_51	columna_52	columna_53	columna_54	columna_55	columna_56	columna_57	columna_58	columna_59	columna_60	columna_61	columna_62	columna_63	columna_64	columna_65	columna_66	columna_67	columna_68	columna_69
0	4200056194	174297088	100821775157	2022-06-30	1	289570	10	28957	242960	46610	199106	28173	227279	32550	32550	NaN	9	260613	1	28957	8	231656	1	28957	2.79000	2021-05-11	2021-05-10	463	2021-09-30	2021-08-08	24141	463	C	433	100821775157	100821775157	2022-07-05	NaN	2.- Coas	NaN	Compra Cuotas Emisor	NaN	5	242960	2021-11-05	NaN	NaN	331	237	NaN	NaN	NaN	1	289570	8.079003e+05	2.79000	32550	28173	199106	227279.0	32550.0	NaN
1	4002910555	170677080	100821784211	2022-06-30	1	673224	24	28051	469680	203544	469570	0	469570	83514	83514	NaN	9	252459	1	28051	23	645173	0	0	2.79000	2021-10-11	2021-10-10	463	2022-01-05	2021-08-08	24101	463	C	433	100821784211	100821784211	2023-09-10	NaN	2.- Coas	NaN	Compra Cuotas Emisor	NaN	5	469680	2021-11-10	NaN	NaN	763	263	NaN	NaN	NaN	1	673224	1.878295e+06	2.79000	83514	0	469570	469570.0	83514.0	NaN
2	4002852021	178847600	10620355938	2022-06-30	1	175800	24	7325	115906	59894	47663	20804	68467	10937	10937	NaN	21	153825	13	95225	8	58600	3	21975	2.78166	2021-05-11	2020-05-10	260	2021-11-10	2020-01-06	24101	260	C	252	10620355938	10620355938	2022-09-05	NaN	7.- Refinanciamiento	NaN	RENEGOCIACION X X REFINANCIAMIENTO TOTAL	NaN	5	115906	2021-11-05	NaN	NaN	826	237	NaN	NaN	NaN	1	175800	4.890158e+05	2.78166	10937	20804	47663	68467.0	10937.0	NaN
3	4003681769	173567839	10721276820	2022-06-30	1	16842	12	1404	16842	0	13939	0	13939	0	0	NaN	11	15444	2	2808	10	14040	0	0	0.00000	2021-05-10	2021-05-08	463	2021-07-09	2021-06-29	24101	463	C	432	10721276820	10721276820	2022-07-05	NaN	2.- Coas	NaN	Compra Cuotas Comercio TRANSBANK	NaN	5	16842	2021-10-05	NaN	NaN	371	268	NaN	NaN	NaN	1	16848	0.000000e+00	0.00000	0	0	13939	13939.0	0.0	NaN
4	4003437774	135652652	100921191998	2022-06-30	1	628920	10	62892	542772	86148	430914	61168	492082	71646	71646	NaN	9	566028	1	62892	8	503136	1	62892	2.83166	2021-05-11	2021-05-10	1	2021-07-10	2021-10-09	24101	1	C	252	100921191998	100921191998	2022-07-05	NaN	7.- Refinanciamiento	NaN	RENEGOCIACION X X REFINANCIAMIENTO TOTAL	NaN	5	542772	2021-11-05	NaN	NaN	298	237	NaN	NaN	NaN	1	628920	1.780888e+06	2.83166	71646	61168	430914	492082.0	71646.0	NaN
5	4001094370	16050028K	10620355913	2022-06-30	1	2804762	34	82493	1835009	969753	1319527	0	1319527	183545	183545	NaN	22	1814846	14	1154902	20	1649860	0	0	2.19833	2021-11-25	2020-09-25	75	2021-10-26	2020-01-06	24101	75	C	252	10620355913	10620355913	2023-06-25	NaN	7.- Refinanciamiento	NaN	RENEGOCIACION X X REFINANCIAMIENTO TOTAL	NaN	5	1835009	2021-11-25	NaN	NaN	1119	217	NaN	NaN	NaN	1	2804762	6.165792e+06	2.19833	183545	0	1319527	1319527.0	183545.0	NaN
6	4000774944	96925204	10921071064	2022-06-30	1	283570	12	23631	283570	0	259939	0	259939	0	0	NaN	9	212679	1	23631	11	259941	0	0	0.00000	2021-01-11	2021-01-10	463	2021-04-11	2021-08-31	24101	463	C	432	10921071064	10921071064	2022-09-01	NaN	2.- Coas	NaN	Compra Cuotas Comercio TRANSBANK	NaN	5	283570	2021-11-01	NaN	NaN	366	241	NaN	NaN	NaN	1	283572	0.000000e+00	0.00000	0	0	259939	259939.0	0.0	NaN
7	4000840229	260182854	110521752820	2022-06-30	1	96120	36	2670	60000	36120	8895	44796	53691	11365	11365	NaN	13	34710	5	13350	8	21360	23	61410	2.77166	2021-10-11	2021-10-06	500	2021-05-10	2021-11-05	24101	500	C	347	110521752820	110521752820	2024-05-10	NaN	3.- Avance	NaN	AVANCE_ABCDIN	NaN	5	60000	2021-11-10	NaN	NaN	1095	232	NaN	NaN	NaN	1	96120	2.664120e+05	2.77166	11365	44796	8895	53691.0	11365.0	NaN
8	4002968792	257500985	10621966490	2022-06-30	1	835650	18	46425	641402	194248	548540	0	548540	85695	85695	NaN	12	557100	3	139275	15	696375	0	0	2.80583	2021-10-10	2021-10-07	288	2021-09-15	2021-01-06	24101	288	C	254	10621966490	10621966490	2022-12-10	NaN	5.- Repactado	NaN	RENEGOCIACION X REPACTACION	NaN	5	641402	2021-10-10	NaN	NaN	557	263	NaN	NaN	NaN	1	835650	2.344692e+06	2.80583	85695	0	548540	548540.0	85695.0	NaN
9	4000131899	177602868	110520160138	2022-06-30	1	31401	36	881	17505	13896	13910	0	13910	3040	3040	NaN	22	19382	13	11453	23	20263	0	0	2.96333	2021-05-10	2020-05-09	1	2021-09-14	2020-11-05	24101	1	C	252	110520160138	110520160138	2023-08-05	NaN	7.- Refinanciamiento	NaN	RENEGOCIACION X X REFINANCIAMIENTO TOTAL	NaN	5	17505	2021-10-05	NaN	NaN	1181	268	NaN	NaN	NaN	1	31716	9.398497e+04	2.96333	3040	0	13910	13910.0	3040.0	NaN

Last rows

	columna_0	columna_1	columna_2	columna_3	columna_4	columna_5	columna_6	columna_7	columna_8	columna_9	columna_10	columna_11	columna_12	columna_13	columna_15	columna_21	columna_24	columna_25	columna_26	columna_27	columna_28	columna_29	columna_30	columna_31	columna_32	columna_33	columna_34	columna_35	columna_36	columna_37	columna_38	columna_39	columna_40	columna_41	columna_42	columna_43	columna_44	columna_45	columna_46	columna_47	columna_48	columna_49	columna_50	columna_51	columna_52	columna_53	columna_54	columna_55	columna_56	columna_57	columna_58	columna_59	columna_60	columna_61	columna_62	columna_63	columna_64	columna_65	columna_66	columna_67	columna_68	columna_69
0	4200056194	174297088	100821775157	2022-06-30	1	289570	10	28957	242960	46610	199106	28173	227279	32550	32550	NaN	9	260613	1	28957	8	231656	1	28957	2.79000	2021-05-11	2021-05-10	463	2021-09-30	2021-08-08	24141	463	C	433	100821775157	100821775157	2022-07-05	NaN	2.- Coas	NaN	Compra Cuotas Emisor	NaN	5	242960	2021-11-05	NaN	NaN	331	237	NaN	NaN	NaN	1	289570	8.079003e+05	2.79000	32550	28173	199106	227279.0	32550.0	NaN
1	4002910555	170677080	100821784211	2022-06-30	1	673224	24	28051	469680	203544	469570	0	469570	83514	83514	NaN	9	252459	1	28051	23	645173	0	0	2.79000	2021-10-11	2021-10-10	463	2022-01-05	2021-08-08	24101	463	C	433	100821784211	100821784211	2023-09-10	NaN	2.- Coas	NaN	Compra Cuotas Emisor	NaN	5	469680	2021-11-10	NaN	NaN	763	263	NaN	NaN	NaN	1	673224	1.878295e+06	2.79000	83514	0	469570	469570.0	83514.0	NaN
2	4002852021	178847600	10620355938	2022-06-30	1	175800	24	7325	115906	59894	47663	20804	68467	10937	10937	NaN	21	153825	13	95225	8	58600	3	21975	2.78166	2021-05-11	2020-05-10	260	2021-11-10	2020-01-06	24101	260	C	252	10620355938	10620355938	2022-09-05	NaN	7.- Refinanciamiento	NaN	RENEGOCIACION X X REFINANCIAMIENTO TOTAL	NaN	5	115906	2021-11-05	NaN	NaN	826	237	NaN	NaN	NaN	1	175800	4.890158e+05	2.78166	10937	20804	47663	68467.0	10937.0	NaN
3	4003681769	173567839	10721276820	2022-06-30	1	16842	12	1404	16842	0	13939	0	13939	0	0	NaN	11	15444	2	2808	10	14040	0	0	0.00000	2021-05-10	2021-05-08	463	2021-07-09	2021-06-29	24101	463	C	432	10721276820	10721276820	2022-07-05	NaN	2.- Coas	NaN	Compra Cuotas Comercio TRANSBANK	NaN	5	16842	2021-10-05	NaN	NaN	371	268	NaN	NaN	NaN	1	16848	0.000000e+00	0.00000	0	0	13939	13939.0	0.0	NaN
4	4003437774	135652652	100921191998	2022-06-30	1	628920	10	62892	542772	86148	430914	61168	492082	71646	71646	NaN	9	566028	1	62892	8	503136	1	62892	2.83166	2021-05-11	2021-05-10	1	2021-07-10	2021-10-09	24101	1	C	252	100921191998	100921191998	2022-07-05	NaN	7.- Refinanciamiento	NaN	RENEGOCIACION X X REFINANCIAMIENTO TOTAL	NaN	5	542772	2021-11-05	NaN	NaN	298	237	NaN	NaN	NaN	1	628920	1.780888e+06	2.83166	71646	61168	430914	492082.0	71646.0	NaN
5	4001094370	16050028K	10620355913	2022-06-30	1	2804762	34	82493	1835009	969753	1319527	0	1319527	183545	183545	NaN	22	1814846	14	1154902	20	1649860	0	0	2.19833	2021-11-25	2020-09-25	75	2021-10-26	2020-01-06	24101	75	C	252	10620355913	10620355913	2023-06-25	NaN	7.- Refinanciamiento	NaN	RENEGOCIACION X X REFINANCIAMIENTO TOTAL	NaN	5	1835009	2021-11-25	NaN	NaN	1119	217	NaN	NaN	NaN	1	2804762	6.165792e+06	2.19833	183545	0	1319527	1319527.0	183545.0	NaN
6	4000774944	96925204	10921071064	2022-06-30	1	283570	12	23631	283570	0	259939	0	259939	0	0	NaN	9	212679	1	23631	11	259941	0	0	0.00000	2021-01-11	2021-01-10	463	2021-04-11	2021-08-31	24101	463	C	432	10921071064	10921071064	2022-09-01	NaN	2.- Coas	NaN	Compra Cuotas Comercio TRANSBANK	NaN	5	283570	2021-11-01	NaN	NaN	366	241	NaN	NaN	NaN	1	283572	0.000000e+00	0.00000	0	0	259939	259939.0	0.0	NaN
7	4000840229	260182854	110521752820	2022-06-30	1	96120	36	2670	60000	36120	8895	44796	53691	11365	11365	NaN	13	34710	5	13350	8	21360	23	61410	2.77166	2021-10-11	2021-10-06	500	2021-05-10	2021-11-05	24101	500	C	347	110521752820	110521752820	2024-05-10	NaN	3.- Avance	NaN	AVANCE_ABCDIN	NaN	5	60000	2021-11-10	NaN	NaN	1095	232	NaN	NaN	NaN	1	96120	2.664120e+05	2.77166	11365	44796	8895	53691.0	11365.0	NaN
8	4002968792	257500985	10621966490	2022-06-30	1	835650	18	46425	641402	194248	548540	0	548540	85695	85695	NaN	12	557100	3	139275	15	696375	0	0	2.80583	2021-10-10	2021-10-07	288	2021-09-15	2021-01-06	24101	288	C	254	10621966490	10621966490	2022-12-10	NaN	5.- Repactado	NaN	RENEGOCIACION X REPACTACION	NaN	5	641402	2021-10-10	NaN	NaN	557	263	NaN	NaN	NaN	1	835650	2.344692e+06	2.80583	85695	0	548540	548540.0	85695.0	NaN
9	4000131899	177602868	110520160138	2022-06-30	1	31401	36	881	17505	13896	13910	0	13910	3040	3040	NaN	22	19382	13	11453	23	20263	0	0	2.96333	2021-05-10	2020-05-09	1	2021-09-14	2020-11-05	24101	1	C	252	110520160138	110520160138	2023-08-05	NaN	7.- Refinanciamiento	NaN	RENEGOCIACION X X REFINANCIAMIENTO TOTAL	NaN	5	17505	2021-10-05	NaN	NaN	1181	268	NaN	NaN	NaN	1	31716	9.398497e+04	2.96333	3040	0	13910	13910.0	3040.0	NaN

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common